code: def get_q_values(model, states, returns_to_condition):
      outputs = model(states, return_to_condition=returns_to_condition)
      return jnp.squeeze(outputs.q_values)
  
imports: import functools
  from absl import logging
  from dopamine.jax import losses
  from dopamine.jax.agents.dqn import dqn_agent
  from dopamine.jax.agents.rainbow import rainbow_agent
  from dopamine.labs.offline_rl.jax import offline_rainbow_agent
  import gin
  import jax
  import jax.numpy
  import numpy
  import optax
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: get_q_values(model, states, returns_to_condition) and returns: jnp